What is the difference between Mamdani and Sugeno FIS?

What is the difference between Mamdani and Sugeno FIS?

The most fundamental difference between Mamdani-type FIS and Sugeno-type FIS is the way the crisp output is generated from the fuzzy inputs. While Mamdani-type FIS uses the technique of defuzzification of a fuzzy output, Sugeno-type FIS uses weighted average to compute the crisp output.

What is Mamdani FIS?

Mamdani FIS – The Mamdani fuzzy inference system was proposed by Ebhasim Mamdani. Firstly it was designed to control a steam engine and boiler combination by a set of linguistic control rules obtained from the experienced human operators. In Mamdani inference system, the output of each rule to be a fuzzy logic set.

Which function is used to add input to the FIS in Matlab?

fisOut = addInput( fisIn ) adds a default input variable to fisIn and returns the resulting fuzzy system in fisOut . This input variable has a default name, default range, and no membership functions.

What is fuzzy Mamdani?

Mamdani Fuzzy Inference Systems Mamdani fuzzy inference was first introduced as a method to create a control system by synthesizing a set of linguistic control rules obtained from experienced human operators [1]. In a Mamdani system, the output of each rule is a fuzzy set.

How do I load a FIS file?

Open the FIS in the MATLAB FIS Editor by either: Write the command fuzzy in the MATLAB command window, in the opened editor choose File->Import->From Workspace and enter FIS variable name (default fismatrix). OR write fuzzy invpen_mamdani. fis in the command window.

How do you add inputs in MATLAB?

x = input( prompt ) displays the text in prompt and waits for the user to input a value and press the Return key. The user can enter expressions, like pi/4 or rand(3) , and can use variables in the workspace. If the user presses the Return key without entering anything, then input returns an empty matrix.